PACIS 2021 Proceedings

Loading...

Media is loading
 

Paper Type

FP

Paper Number

111

Abstract

Mobile personal finance applications cannot only assist users in daily personal finance activities, e.g., mobile banking, but can also guide users to optimize long-term financial decisions. Still, research lacks a rigorous classification of this critical mobile commerce domain. We provide insights by developing a taxonomy and conducting a cluster analysis of mobile personal finance applications. We classify 170 mobile personal finance applications into twelve dimensions, combining a technical artifact perspective with a financial services perspective. Additionally, we empirically identify ten distinct clusters of archetypical application configurations. While we classify the field and give inclinations for future research, financial service providers and application developers can understand their competitors and use our insights to improve their applications. Potential users of these applications can use our findings to select mobile applications to optimize their personal finance endeavors.

Share

COinS
 

When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.